Top Data & Analytics Jobs

The Staff Machine Learning Engineer will lead the Conversational AI team at Square, focusing on designing and optimizing machine learning solutions across products. Responsibilities include driving ML projects from inception to production, collaborating with various stakeholders, and providing mentorship to team members.

The Senior Machine Learning Engineer will design and implement machine learning systems to combat fraud in Cash App's banking products. This role involves developing ML pipelines, collaborating with teams to enhance machine learning practices, and advancing the platform to support robust, scalable solutions for end-users.

As a Senior Data Scientist, you will analyze complex business problems using advanced statistical methods and machine learning techniques. Collaborating with various teams, you will develop predictive models, design experiments, and communicate insights to stakeholders to drive revenue for the organization.

The Director of Data Science will lead a team responsible for developing advanced data science methods to enhance ad performance and revenue growth. Responsibilities include managing machine learning models, delivering actionable insights through data analysis, and building relationships with executives. This role emphasizes strategic improvements using data and effective team leadership.

The Senior Staff AI Software Engineer will develop AI applications for Gusto that enhance operational efficiency for small businesses. Responsibilities include building applications, collaborating with Gusto's co-founder on code deployment, and mentoring junior engineers.

This role involves leading the development of operational solutions for Large Language Models (LLMs) and collaborating with a team to build AI-powered experiences for enterprise customers. Responsibilities include software design, implementation, maintaining data processing pipelines, and ensuring effective communication with stakeholders about AI technologies.

The Senior Applied Scientist will enhance customer-service provider matching using machine learning and optimization algorithms, build predictive models, analyze marketplace dynamics, and manage monetization strategies for Thumbtack's platform, aiming to foster successful matches for projects and professionals.

The Data Architect will lead the design and implementation of data products, collaborating with various product teams. Responsibilities include data modeling, ensuring adherence to data architecture guidelines, creating data quality standards, and managing a team of engineers. The position involves consulting on systems architecture and collaborating with Data Science teams.

The Senior Manager of Ontology and Data Governance leads the development and implementation of enterprise ontologies and collaborates on data strategy. This role involves sourcing data standardization efforts, managing a long-term roadmap, tracking KPIs, mentoring associates, and ensuring adherence to semantic standards. The position requires strong communication and leadership to influence cross-functional teams and advocate for the use of semantic technology.

The Sr Director of Data Science will manage a team of data scientists, translating business challenges into actionable data science projects, ensuring timely delivery and high quality. Responsibilities include team leadership, collaboration with stakeholders, and maintaining knowledge of industry trends and technologies. The role also involves budgeting and forecasting.

As Sr. Director of Data, Analytics, and AI at NinjaTrader, you will lead efforts in data infrastructure, data science, business intelligence, machine learning, and AI. Your role involves managing a team, executing the technical roadmap, ensuring data governance, and fostering collaborations across departments to support data-driven decision-making and enhance user experience.

As a Senior Data Scientist at Kargo, you will develop and implement NLP models, work with content system data, oversee audience targeting models, ensure the scalability of bidding systems, and collaborate with cross-functional teams to align data science projects with business objectives.

As the AI/ML Risk Guide for the Enterprise AI/ML Program, you'll manage various risk-related deliverables, work across teams, develop risk mitigation plans, and maintain senior-level communications to enhance operational safety and compliance for Capital One.

As a Manager in Cyber Risk & Analysis, you will oversee risk management for emerging technologies and collaborate across teams to enhance customer experience. Responsibilities include developing risk strategies, managing deliverables, and improving risk management approaches within a dynamic environment.

The Manager of Ontology and Data Modeling will develop and maintain enterprise ontologies supporting Capital One's Data Strategy. Responsibilities include guiding ontology-based data product deployment, defining actionable problem statements, prioritizing ontological roadmaps, leveraging technology and architecture vision, and influencing stakeholders. They will also mentor junior associates and contribute to team culture while focusing on data integration and industry developments.

The Lead Machine Learning Engineer at adMarketplace will design, develop, and optimize ML models to drive performance in search ads, focusing on yield optimization and CTR predictions. Responsibilities include defining ML strategy, establishing A/B testing frameworks, implementing ML pipelines, and mentoring team members while aligning ML initiatives with business goals.

As a Senior Business Analyst at Capital One, you will analyze business challenges, design dashboards, model new products and pricing strategies, and report on portfolio health. Collaborating with cross-functional teams, you will provide insights for executive decision-making in the AML program, focusing on preventing financial crimes.